Alternating Least Squares as Moving Subspace Correction.
Ivan V. OseledetsMaxim V. RakhubaAndré UschmajewPublished in: SIAM J. Numer. Anal. (2018)
Keyphrases
- alternating least squares
- negative matrix factorization
- nonnegative matrix factorization
- low rank approximation
- principal component analysis
- subspace learning
- moving objects
- low dimensional
- feature space
- high dimensional
- dimensionality reduction
- data sets
- high dimensional data
- stochastic gradient descent
- matrix factorization
- training samples
- sparse representation
- training set
- information retrieval